Loyalty Program
Analytics
Track your loyalty program performance and understand customer behavior
Track your loyalty program performance and understand how customers are earning, redeeming, and progressing through your rewards system.
How to Access
Go to Subscribfy → Loyalty → Analytics tab
Use the date range picker at the top to filter data by time period (default: last 30 days).
Key Metrics
Three summary cards show your program's health at a glance:
| Metric | Description |
|---|---|
| Unclaimed Rewards | Points customers have earned but not yet redeemed. High numbers mean customers are saving up - or may not know how to redeem. |
| Referral Invites Sent | Total referral invitations sent by customers in the selected time period. |
| Referral Invites Completed | Referrals where the referred friend completed a qualifying order. This is your referral conversion. |
How Metrics Are Calculated
| Metric | Formula |
|---|---|
| Unclaimed Rewards | Total Points Earned - Total Points Redeemed |
| Referral Conversion Rate | Invites Completed ÷ Invites Sent × 100 |
Charts
Referral Time
Shows how long it takes for referrals to convert - the time between when an invite is sent and when the referred friend completes their first order.
| What it shows | Distribution of conversion times (e.g., how many convert within 1 day, 3 days, 7 days, etc.) |
| Why it matters | Helps you understand urgency. If most convert quickly, your referral incentive is strong. If it takes weeks, consider increasing the friend reward. |
Most Redeemed Rewards
Shows which rewards are most popular with your customers.
| What it shows | Bar chart of rewards ranked by redemption count |
| Why it matters | Identify your most attractive rewards. Consider promoting underperforming rewards or adjusting their point cost. |
Loyalty Tiers Distribution
Shows how your customers are distributed across tiers.
| What it shows | Number and percentage of customers in each tier (e.g., Bronze 60%, Silver 30%, Gold 10%) |
| Why it matters | A healthy program has a pyramid shape - most in entry tier, fewer in top tiers. If too many are stuck at bottom, entry requirements for higher tiers may be too hard. |
What to Look For
Signs of a Healthy Program
- Growing referral completions - Your referral program is driving new customers
- Balanced tier distribution - Customers are progressing through tiers over time
- Active redemptions - Customers are using their points, not just accumulating
- Quick referral conversions - Friends are buying soon after receiving invites
Warning Signs
- High unclaimed rewards - Customers may not know how to redeem, or rewards aren't attractive enough
- Low referral completion rate - Friend incentive may be too weak, or referral process is confusing
- Everyone stuck in bottom tier - Point thresholds may be too high, or customers aren't engaged
- One reward dominates - Other rewards may need better positioning or lower point costs
Actions Based on Data
| Problem | Solution |
|---|---|
| High unclaimed rewards | Send email reminding customers of their points balance. Add redemption prompts at checkout. |
| Low referral conversions | Increase the friend discount. Make the referral link more visible in customer accounts. |
| Slow referral time | Add urgency with expiring referral offers. Send reminder emails to referred friends. |
| Uneven tier distribution | Adjust tier thresholds. Add more earning opportunities to help customers progress. |
Tips
- Check weekly - Monitor trends, not just single data points
- Compare time periods - Use date range to compare this month vs last month
- Correlate with campaigns - Did a recent email campaign increase redemptions?
- Share with team - Analytics help justify loyalty program investments
Need help? Contact support at support@subscribfy.com